On the security of pay-per-click and other Web advertising schemes
WWW '99 Proceedings of the eighth international conference on World Wide Web
IEEE Internet Computing
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Search Engine Advertising: Buying Your Way to the Top to Increase Sales
Search Engine Advertising: Buying Your Way to the Top to Increase Sales
Duplicate detection in click streams
WWW '05 Proceedings of the 14th international conference on World Wide Web
Using association rules for fraud detection in web advertising networks
VLDB '05 Proceedings of the 31st international conference on Very large data bases
INFORMS Journal on Computing
Detecting hit shaving in click-through payment schemes
WOEC'98 Proceedings of the 3rd conference on USENIX Workshop on Electronic Commerce - Volume 3
Security of web browser scripting languages: vulnerabilities, attacks, and remedies
SSYM'98 Proceedings of the 7th conference on USENIX Security Symposium - Volume 7
Discovering information diffusion paths from blogosphere for online advertising
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
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Online advertising is aimed to promote and sell products and services of various companies in the global market through internet. In 2005, it was estimated that companies spent $10B in web advertisements, and it is expected to grow by 25-30% in the next few years. The advertisements can be displayed in the search results as sponsored links, on the web sites, etc. Further, these advertisements are personalized based on demographic targeting or on information gained directly from the user. In a standard setting, an advertiser provides the publisher with its advertisements and they agree on some commission for each customer action. This agreement is done in the presence of Internet Advertising commissioners, who represent the middle person between Internet Publishers and Internet Advertisers. The publisher, motivated by the commission paid by the advertisers, displays the advertisers’ links in its search results. Since each player in this scenario can earn huge revenue through this procedure, there is incentive to falsely manipulate the procedure by extracting forbidden information of the customer action. By passing this forbidden information to the other party, one can generate extra revenue. This paper discusses an algorithm for detecting such frauds in web advertising networks.